Ken Research Logo

Thailand Artificial Intelligence Ai Data Center Market

Thailand AI Data Center Market, valued at USD 0.4 Bn, is expanding due to AI demand, government support, and key players like True IDC and AWS, focusing on hyperscale and green tech.

Region:Asia

Author(s):Dev

Product Code:KRAA1556

Pages:100

Published On:August 2025

About the Report

Base Year 2024

Thailand Artificial Intelligence Ai Data Center Market Overview

  • The Thailand Artificial Intelligence Ai Data Center Market is valued at USD 0.4 billion, based on a five-year historical analysis. This reflects the size of Thailand’s AI-optimized data center segment and aligns with strong hyperscaler-led investments and government-backed approvals for new capacity, including over 90.9 billion baht in approved data center and cloud projects by Thailand’s BOI.
  • Key cities such as Bangkok, Chiang Mai, and Pattaya dominate the market due to their advanced infrastructure, availability of skilled labor, and proximity to major telecommunications networks. Bangkok concentrates the bulk of operational and planned capacity and landing points, supported by large telcos and global operators; secondary provinces are being evaluated for edge and disaster recovery to optimize cost and latency for regional users.
  • In 2023, the Thai government implemented the Digital Economy Promotion Agency (DEPA) initiative, which aims to enhance the country's digital infrastructure. This initiative includes incentives and programs under Thailand’s broader digital economy push, while the Board of Investment separately approved substantial data center and cloud investments; hyperscaler plans by Google, AWS, and Microsoft further support sustainable, AI-ready facilities and renewable integration.
Thailand Artificial Intelligence Ai Data Center Market Size

Thailand Artificial Intelligence Ai Data Center Market Segmentation

By Type:The market is segmented into various types of data centers, including Hyperscale & CSP Data Centers, Colocation Data Centers, Enterprise (Private) Data Centers, Edge and Micro Data Centers, and Disaster Recovery/Backup Sites. Each type serves different needs, with hyperscale data centers leading due to their ability to handle massive workloads and provide scalable solutions for businesses.

Thailand Artificial Intelligence Ai Data Center Market segmentation by Type.

By End-User:The end-user segmentation includes IT & Telecommunications, Banking, Financial Services & Insurance (BFSI), Government & Public Sector, Healthcare & Life Sciences, E-commerce, Media & Content Platforms, and Manufacturing & Industrial sectors. The IT & Telecommunications sector is the largest end-user, driven by the increasing demand for data processing and storage solutions.

Thailand Artificial Intelligence Ai Data Center Market segmentation by End-User.

Thailand Artificial Intelligence Ai Data Center Market Competitive Landscape

The Thailand Artificial Intelligence Ai Data Center Market is characterized by a dynamic mix of regional and international players. Leading participants such as True Internet Data Center (True IDC), Advanced Info Service Public Company Limited (AIS) / AIS Data Center, National Telecom Public Company Limited (NT) / NT Data Center, NTT Global Data Centers (Thailand), ST Telemedia Global Data Centres (Thailand) — STT GDC Thailand, T.C.C. Technology Co., Ltd. (TCC Technology), Internet Thailand Public Company Limited (INET), SUPERNAP (Thailand) Co., Ltd., Telehouse Bangkok (KDDI Group), AIMS Data Centre (Thailand) — a Time dotCom company, OneAsia Network (Thailand), Bridge Data Centres (Thailand), Chindata Group / Bridge DC regional partner, United Information Highway Co., Ltd. (UIH), Delta Electronics (Thailand) Public Company Limited contribute to innovation, geographic expansion, and service delivery in this space.

True IDC

2003

Bangkok, Thailand

AIS Data Center

1990

Bangkok, Thailand

NT Data Center

2021

Bangkok, Thailand

NTT Global Data Centers (Thailand)

2021

Bangkok, Thailand

STT GDC Thailand

2021

Bangkok, Thailand

Company

Establishment Year

Headquarters

Group Size (Hyperscale, Large, Medium, or Small)

Thailand Installed IT Load (MW)

Thailand Total Planned/Pipeline Capacity (MW)

Number of Data Center Sites in Thailand

AI-Optimized Power Density (kW/rack, typical)

Average PUE (Power Usage Effectiveness)

Thailand Artificial Intelligence Ai Data Center Market Industry Analysis

Growth Drivers

  • Increasing Demand for AI Applications:The demand for AI applications in Thailand is projected to reach approximately 1.6 billion THB in the future, driven by sectors such as finance, healthcare, and manufacturing. The Thai government’s push for digital transformation, including the Thailand 4.0 initiative, aims to enhance AI integration across industries. This initiative is expected to create over 250,000 jobs in AI-related fields, further fueling the demand for AI applications and data centers to support these technologies.
  • Government Initiatives Supporting AI Development:The Thai government has allocated around 3.5 billion THB for AI development initiatives in the future, focusing on infrastructure and research. This funding is part of a broader strategy to position Thailand as a regional AI hub. The establishment of the National Artificial Intelligence Committee aims to streamline policies and regulations, fostering an environment conducive to AI innovation and attracting foreign investments in data centers and AI technologies.
  • Rise in Data Generation and Storage Needs:Thailand's data generation is expected to exceed 1.5 zettabytes in the future, driven by the proliferation of IoT devices and digital services. This surge in data necessitates advanced data storage solutions, propelling the demand for AI data centers. As businesses increasingly rely on data analytics for decision-making, the need for efficient data management and storage solutions will continue to grow, further enhancing the market for AI data centers in Thailand.

Market Challenges

  • High Initial Investment Costs:Establishing AI data centers in Thailand requires significant capital investment, estimated at around 600 million THB for a mid-sized facility. This high initial cost can deter potential investors, especially small and medium enterprises (SMEs) that may lack the financial resources. Additionally, ongoing operational costs, including energy consumption and maintenance, further complicate the financial landscape for new entrants in the market.
  • Limited Skilled Workforce:The shortage of skilled professionals in AI and data management is a pressing challenge for Thailand's AI data center market. Currently, there are only about 35,000 qualified AI specialists in the country, while the demand is projected to reach 120,000 in the future. This skills gap hampers the ability of companies to effectively implement and manage AI technologies, limiting the growth potential of the data center sector.

Thailand Artificial Intelligence Ai Data Center Market Future Outlook

The future of Thailand's AI data center market appears promising, driven by increasing investments in digital infrastructure and a growing emphasis on AI technologies. As the government continues to support AI initiatives, the market is likely to witness enhanced collaboration between public and private sectors. Furthermore, advancements in edge computing and hybrid cloud solutions will play a crucial role in shaping the landscape, enabling businesses to optimize their data management strategies and improve operational efficiency.

Market Opportunities

  • Growth in Edge Computing:The rise of edge computing presents a significant opportunity for AI data centers in Thailand. With an expected investment of 1.2 billion THB in edge infrastructure in the future, businesses can leverage localized data processing to enhance performance and reduce latency, driving demand for data centers that support these technologies.
  • Development of Green Data Centers:The increasing focus on sustainability is creating opportunities for green data centers in Thailand. With the government promoting renewable energy use, investments in energy-efficient technologies are projected to reach 900 million THB in the future. This shift not only addresses environmental concerns but also reduces operational costs, making green data centers an attractive option for businesses.

Scope of the Report

SegmentSub-Segments
By Type

Hyperscale & CSP Data Centers

Colocation Data Centers

Enterprise (Private) Data Centers

Edge and Micro Data Centers

Disaster Recovery/Backup Sites

By End-User

IT & Telecommunications

Banking, Financial Services & Insurance (BFSI)

Government & Public Sector

Healthcare & Life Sciences

E-commerce, Media & Content Platforms

Manufacturing & Industrial (including automotive, electronics)

By Application

AI/ML Training and Inference Workloads

Cloud Computing & Virtualization

Big Data Analytics & Data Warehousing

Internet of Things (IoT) & 5G Use Cases

High-Performance Computing (HPC)

By Investment Source

Domestic Private Investments

Foreign Direct Investments (FDI)

Joint Ventures & Strategic Alliances

Government Support & BOI Incentives

By Policy Support

Board of Investment (BOI) Tax Incentives

Incentives for Renewable & Energy-Efficient Infrastructure

Data Residency & PDPA Compliance Frameworks

Digital Infrastructure & Eastern Economic Corridor (EEC) Programs

By Service Model

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS)

Software as a Service (SaaS)

Managed & Professional Services

By Data Center Size

Small (up to 1 MW)

Medium (1–10 MW)

Large (>10 MW)

Hyperscale (>25 MW)

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Ministry of Digital Economy and Society, National Innovation Agency)

Telecommunications Companies

Cloud Service Providers

Data Center Operators

Technology Infrastructure Providers

Energy Providers and Utilities

Cybersecurity Firms

Players Mentioned in the Report:

True Internet Data Center (True IDC)

Advanced Info Service Public Company Limited (AIS) / AIS Data Center

National Telecom Public Company Limited (NT) / NT Data Center

NTT Global Data Centers (Thailand)

ST Telemedia Global Data Centres (Thailand) STT GDC Thailand

T.C.C. Technology Co., Ltd. (TCC Technology)

Internet Thailand Public Company Limited (INET)

SUPERNAP (Thailand) Co., Ltd.

Telehouse Bangkok (KDDI Group)

AIMS Data Centre (Thailand) a Time dotCom company

OneAsia Network (Thailand)

Bridge Data Centres (Thailand)

Chindata Group / Bridge DC regional partner

United Information Highway Co., Ltd. (UIH)

Delta Electronics (Thailand) Public Company Limited

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Thailand Artificial Intelligence Ai Data Center Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Thailand Artificial Intelligence Ai Data Center Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Thailand Artificial Intelligence Ai Data Center Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Demand for AI Applications
3.1.2 Government Initiatives Supporting AI Development
3.1.3 Rise in Data Generation and Storage Needs
3.1.4 Expansion of Cloud Services

3.2 Market Challenges

3.2.1 High Initial Investment Costs
3.2.2 Limited Skilled Workforce
3.2.3 Regulatory Compliance Issues
3.2.4 Data Security Concerns

3.3 Market Opportunities

3.3.1 Growth in Edge Computing
3.3.2 Partnerships with Tech Startups
3.3.3 Development of Green Data Centers
3.3.4 Increased Adoption of Hybrid Cloud Solutions

3.4 Market Trends

3.4.1 Shift Towards Sustainable Practices
3.4.2 Integration of AI in Data Management
3.4.3 Rise of Multi-Cloud Strategies
3.4.4 Focus on Data Privacy Regulations

3.5 Government Regulation

3.5.1 Data Protection Laws
3.5.2 Incentives for Renewable Energy Use
3.5.3 Standards for Data Center Operations
3.5.4 Tax Benefits for AI Investments

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Thailand Artificial Intelligence Ai Data Center Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Thailand Artificial Intelligence Ai Data Center Market Segmentation

8.1 By Type

8.1.1 Hyperscale & CSP Data Centers
8.1.2 Colocation Data Centers
8.1.3 Enterprise (Private) Data Centers
8.1.4 Edge and Micro Data Centers
8.1.5 Disaster Recovery/Backup Sites

8.2 By End-User

8.2.1 IT & Telecommunications
8.2.2 Banking, Financial Services & Insurance (BFSI)
8.2.3 Government & Public Sector
8.2.4 Healthcare & Life Sciences
8.2.5 E-commerce, Media & Content Platforms
8.2.6 Manufacturing & Industrial (including automotive, electronics)

8.3 By Application

8.3.1 AI/ML Training and Inference Workloads
8.3.2 Cloud Computing & Virtualization
8.3.3 Big Data Analytics & Data Warehousing
8.3.4 Internet of Things (IoT) & 5G Use Cases
8.3.5 High-Performance Computing (HPC)

8.4 By Investment Source

8.4.1 Domestic Private Investments
8.4.2 Foreign Direct Investments (FDI)
8.4.3 Joint Ventures & Strategic Alliances
8.4.4 Government Support & BOI Incentives

8.5 By Policy Support

8.5.1 Board of Investment (BOI) Tax Incentives
8.5.2 Incentives for Renewable & Energy-Efficient Infrastructure
8.5.3 Data Residency & PDPA Compliance Frameworks
8.5.4 Digital Infrastructure & Eastern Economic Corridor (EEC) Programs

8.6 By Service Model

8.6.1 Infrastructure as a Service (IaaS)
8.6.2 Platform as a Service (PaaS)
8.6.3 Software as a Service (SaaS)
8.6.4 Managed & Professional Services

8.7 By Data Center Size

8.7.1 Small (up to 1 MW)
8.7.2 Medium (1–10 MW)
8.7.3 Large (>10 MW)
8.7.4 Hyperscale (>25 MW)

9. Thailand Artificial Intelligence Ai Data Center Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Group Size (Hyperscale, Large, Medium, or Small)
9.2.3 Thailand Installed IT Load (MW)
9.2.4 Thailand Total Planned/Pipeline Capacity (MW)
9.2.5 Number of Data Center Sites in Thailand
9.2.6 AI-Optimized Power Density (kW/rack, typical)
9.2.7 Average PUE (Power Usage Effectiveness)
9.2.8 Renewable/Energy Contracts (% of load under RE or PPAs)
9.2.9 SLA Uptime Tier (e.g., Tier III/Tier IV, 99.99%+)
9.2.10 Interconnection Ecosystem (carriers, IXs, cloud on-ramps)
9.2.11 Notable AI/HPC Customers or Alliances
9.2.12 Year-on-Year Revenue Growth in Thailand (%)
9.2.13 Average Rack Utilization/Occupancy (%)
9.2.14 Land/Power Secured for Expansion (MVA, hectares)

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 True Internet Data Center (True IDC)
9.5.2 Advanced Info Service Public Company Limited (AIS) / AIS Data Center
9.5.3 National Telecom Public Company Limited (NT) / NT Data Center
9.5.4 NTT Global Data Centers (Thailand)
9.5.5 ST Telemedia Global Data Centres (Thailand) — STT GDC Thailand
9.5.6 T.C.C. Technology Co., Ltd. (TCC Technology)
9.5.7 Internet Thailand Public Company Limited (INET)
9.5.8 SUPERNAP (Thailand) Co., Ltd.
9.5.9 Telehouse Bangkok (KDDI Group)
9.5.10 AIMS Data Centre (Thailand) — a Time dotCom company
9.5.11 OneAsia Network (Thailand)
9.5.12 Bridge Data Centres (Thailand)
9.5.13 Chindata Group / Bridge DC regional partner
9.5.14 United Information Highway Co., Ltd. (UIH)
9.5.15 Delta Electronics (Thailand) Public Company Limited

10. Thailand Artificial Intelligence Ai Data Center Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Ministry of Digital Economy and Society
10.1.2 Ministry of Science and Technology
10.1.3 Ministry of Finance
10.1.4 Ministry of Interior

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 IT Infrastructure Investments
10.2.2 Energy Efficiency Initiatives
10.2.3 Cloud Services Expenditure
10.2.4 Data Security Investments

10.3 Pain Point Analysis by End-User Category

10.3.1 Cost Management
10.3.2 Data Security Concerns
10.3.3 Compliance with Regulations
10.3.4 Scalability Issues

10.4 User Readiness for Adoption

10.4.1 Awareness of AI Benefits
10.4.2 Training and Skill Development
10.4.3 Infrastructure Readiness
10.4.4 Budget Allocation for AI Projects

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Measurement of ROI
10.5.2 Expansion of Use Cases
10.5.3 Customer Feedback Integration
10.5.4 Long-term Sustainability Planning

11. Thailand Artificial Intelligence Ai Data Center Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Business Model Development

1.3 Value Proposition Analysis

1.4 Competitive Landscape Overview


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs

2.3 Target Audience Segmentation

2.4 Communication Strategy


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-ups

3.3 Online Distribution Channels

3.4 Partnership Opportunities


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands Analysis

4.3 Competitor Pricing Strategies

4.4 Customer Willingness to Pay


5. Unmet Demand & Latent Needs

5.1 Category Gaps Identification

5.2 Consumer Segments Analysis

5.3 Emerging Trends Exploration

5.4 Future Demand Projections


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-sales Service Strategies

6.3 Customer Engagement Initiatives

6.4 Feedback Mechanisms


7. Value Proposition

7.1 Sustainability Initiatives

7.2 Integrated Supply Chains

7.3 Customer-Centric Approaches

7.4 Competitive Advantages


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding Initiatives

8.3 Distribution Setup

8.4 Operational Efficiency Improvements


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix Considerations
9.1.2 Pricing Band Strategy
9.1.3 Packaging Options

9.2 Export Entry Strategy

9.2.1 Target Countries Identification
9.2.2 Compliance Roadmap Development

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model Evaluation


11. Capital and Timeline Estimation

11.1 Capital Requirements Analysis

11.2 Timelines for Implementation

11.3 Financial Projections

11.4 Risk Assessment


12. Control vs Risk Trade-Off

12.1 Ownership Considerations

12.2 Partnership Opportunities

12.3 Risk Mitigation Strategies


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-term Sustainability Strategies

13.3 Profit Margin Projections

13.4 Financial Health Indicators


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets

14.4 Strategic Alliances


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Milestone Identification
15.2.2 Activity Scheduling
15.2.3 Resource Allocation
15.2.4 Performance Metrics

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of government publications and reports on AI infrastructure development in Thailand
  • Review of industry reports from technology associations and market research firms
  • Examination of academic papers and case studies on AI data center implementations

Primary Research

  • Interviews with IT managers and data center operators in leading Thai enterprises
  • Surveys targeting cloud service providers and AI technology vendors
  • Focus groups with industry experts and consultants specializing in AI and data management

Validation & Triangulation

  • Cross-validation of findings through multiple data sources including market reports and expert opinions
  • Triangulation of quantitative data with qualitative insights from interviews
  • Sanity checks through peer reviews and expert panel discussions

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of total market size based on national IT spending and AI adoption rates
  • Segmentation of the market by industry verticals such as finance, healthcare, and manufacturing
  • Incorporation of government initiatives promoting AI and data center investments

Bottom-up Modeling

  • Data collection from leading data center operators regarding capacity and utilization rates
  • Cost analysis based on operational expenses and pricing models of AI services
  • Volume and revenue projections based on service offerings and customer demand

Forecasting & Scenario Analysis

  • Multi-variable forecasting using trends in AI technology adoption and data consumption
  • Scenario modeling based on regulatory changes and market dynamics
  • Development of baseline, optimistic, and pessimistic forecasts through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Enterprise AI Data Center Usage150IT Managers, Data Center Administrators
Cloud Service Provider Insights100Cloud Operations Managers, Business Development Leads
AI Technology Adoption in Healthcare80Healthcare IT Directors, Data Analysts
Manufacturing Sector Data Management70Operations Managers, IT Infrastructure Leads
Government Policy Impact on AI60Policy Makers, Regulatory Affairs Specialists

Frequently Asked Questions

What is the current value of the Thailand Artificial Intelligence Data Center Market?

The Thailand Artificial Intelligence Data Center Market is valued at approximately USD 0.4 billion, reflecting significant investments and government approvals for new data center capacities, including over 90.9 billion baht in approved projects by Thailands Board of Investment (BOI).

Which cities in Thailand are key players in the AI Data Center Market?

What government initiatives support AI development in Thailand?

What types of data centers are prevalent in Thailand?

Other Regional/Country Reports

Malaysia Artificial Intelligence Ai Data Center Market

Indonesia Artificial Intelligence Ai Data Center Market

KSA Artificial Intelligence Ai Data Center Market

APAC Artificial Intelligence Ai Data Center Market

SEA Artificial Intelligence Ai Data Center Market

Vietnam Artificial Intelligence Ai Data Center Market

Why Buy From Us?

Refine Robust Result (RRR) Framework
Refine Robust Result (RRR) Framework

What makes us stand out is that our consultants follow Robust, Refine and Result (RRR) methodology. Robust for clear definitions, approaches and sanity checking, Refine for differentiating respondents' facts and opinions, and Result for presenting data with story.

Our Reach Is Unmatched
Our Reach Is Unmatched

We have set a benchmark in the industry by offering our clients with syndicated and customized market research reports featuring coverage of entire market as well as meticulous research and analyst insights.

Shifting the Research Paradigm
Shifting the Research Paradigm

While we don't replace traditional research, we flip the method upside down. Our dual approach of Top Bottom & Bottom Top ensures quality deliverable by not just verifying company fundamentals but also looking at the sector and macroeconomic factors.

More Insights-Better Decisions
More Insights-Better Decisions

With one step in the future, our research team constantly tries to show you the bigger picture. We help with some of the tough questions you may encounter along the way: How is the industry positioned? Best marketing channel? KPI's of competitors? By aligning every element, we help maximize success.

Transparency and Trust
Transparency and Trust

Our report gives you instant access to the answers and sources that other companies might choose to hide. We elaborate each steps of research methodology we have used and showcase you the sample size to earn your trust.

Round the Clock Support
Round the Clock Support

If you need any support, we are here! We pride ourselves on universe strength, data quality, and quick, friendly, and professional service.

Why Clients Choose Us?

400000+
Reports in repository
150+
Consulting projects a year
100+
Analysts
8000+
Client Queries in 2022